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Volumn 5164 LNCS, Issue PART 2, 2008, Pages 754-762

Projection pursuit constructive neural networks based on quality of projected clusters

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; BACKPROPAGATION; CHLORINE COMPOUNDS; ERROR ANALYSIS; POINT CONTACTS; STANDARDS; TESTING;

EID: 51849154219     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-87559-8_78     Document Type: Conference Paper
Times cited : (24)

References (16)
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    • Duch, W.: k-separability. In: Kollias, S.D., Stafylopatis, A., Duch, W., Oja, E. (eds.) ICANN 2006. LNCS, vol. 4131, pp. 188-197. Springer, Heidelberg (2006)
    • (2006) LNCS , vol.4131 , pp. 188-197
    • Duch, W.1
  • 2
    • 38149031824 scopus 로고    scopus 로고
    • Learning highly non-separable Boolean functions using Constructive Feedforward Neural Network
    • de Sá, J.M, Alexandre, L.A, Duch, W, Mandic, D.P, eds, ICANN 2007, Springer, Heidelberg
    • Grochowski, M., Duch, W.: Learning highly non-separable Boolean functions using Constructive Feedforward Neural Network. In: de Sá, J.M., Alexandre, L.A., Duch, W., Mandic, D.P. (eds.) ICANN 2007. LNCS, vol. 4668, pp. 180-189. Springer, Heidelberg (2007)
    • (2007) LNCS , vol.4668 , pp. 180-189
    • Grochowski, M.1    Duch, W.2
  • 3
    • 0004063090 scopus 로고
    • A Comprehensive Foundation. Maxwell MacMillian Int, New York
    • Haykin, S.: Neural Networks - A Comprehensive Foundation. Maxwell MacMillian Int., New York (1994)
    • (1994) Neural Networks
    • Haykin, S.1
  • 6
    • 0000764772 scopus 로고
    • The use of multiple measurements in taxonomic problems
    • Fisher, R.: The use of multiple measurements in taxonomic problems. Annals of Eugenics 7, 179-188 (1936)
    • (1936) Annals of Eugenics , vol.7 , pp. 179-188
    • Fisher, R.1
  • 7
    • 34249086815 scopus 로고    scopus 로고
    • Dimensionality reduction of multimodal labeled data by local fisher discriminant analysis
    • Sugiyama, M.: Dimensionality reduction of multimodal labeled data by local fisher discriminant analysis. Journal of Machine Learning Research 8, 1027-1061 (2007)
    • (2007) Journal of Machine Learning Research , vol.8 , pp. 1027-1061
    • Sugiyama, M.1
  • 8
    • 0034562759 scopus 로고    scopus 로고
    • Similarity based methods: A general framework for classification, approximation and association
    • Duch, W.: Similarity based methods: a general framework for classification, approximation and association. Control and Cybernetics 29, 937-968 (2000)
    • (2000) Control and Cybernetics , vol.29 , pp. 937-968
    • Duch, W.1
  • 9
    • 0347920387 scopus 로고    scopus 로고
    • Classification, association and pattern completion using neural similarity based methods. Applied Mathemathics and Computer
    • Duch, W., Adamczak, R., Diercksen, G.: Classification, association and pattern completion using neural similarity based methods. Applied Mathemathics and Computer Science 10, 101-120 (2000)
    • (2000) Science , vol.10 , pp. 101-120
    • Duch, W.1    Adamczak, R.2    Diercksen, G.3
  • 10
  • 11
    • 0037956674 scopus 로고    scopus 로고
    • Transfer functions: Hidden possibilities for better neural networks
    • De-facto publications, Brusells
    • Duch, W., Jankowski, N.: Transfer functions: hidden possibilities for better neural networks. In: 9th European Symposium on Artificial Neural Networks, pp. 81-94. De-facto publications, Brusells (2001)
    • (2001) 9th European Symposium on Artificial Neural Networks , pp. 81-94
    • Duch, W.1    Jankowski, N.2
  • 12
    • 33845913054 scopus 로고    scopus 로고
    • Shakhnarovish, G, Darrell, T, Indyk, P, eds, MIT Press, Cambridge
    • Shakhnarovish, G., Darrell, T., Indyk, P. (eds.): Nearest-Neighbor Methods in Learning and Vision. MIT Press, Cambridge (2005)
    • (2005) Nearest-Neighbor Methods in Learning and Vision
  • 15
    • 0035271419 scopus 로고    scopus 로고
    • A new methodology of extraction, optimization and application of crisp and fuzzy logical rules
    • Duch, W., Adamczak, R., Gra̧bczewski, K.: A new methodology of extraction, optimization and application of crisp and fuzzy logical rules. IEEE Transactions on Neural Networks 12, 277-306 (2001)
    • (2001) IEEE Transactions on Neural Networks , vol.12 , pp. 277-306
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  • 16
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    • Muselli, M.: Sequential constructive techniques. In: Leondes, C. (ed.) Optimization Techniques. Neural Network Systems, Techniques and Applications, 2, pp. 81-144. Academic Press, San Diego (1998)
    • Muselli, M.: Sequential constructive techniques. In: Leondes, C. (ed.) Optimization Techniques. Neural Network Systems, Techniques and Applications, vol. 2, pp. 81-144. Academic Press, San Diego (1998)


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.